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Record W4313387534 · doi:10.1080/1369183x.2022.2158791

The making of ideal immigrant settlement workers: examining the technologies of ruling power in Canadian immigrant service organisations

2022· article· en· W4313387534 on OpenAlexaffabout
Jingzhou Liu, Shibao Guo

Bibliographic record

VenueJournal of Ethnic and Migration Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGovernmentalityIdeal (ethics)ImmigrationGovernment (linguistics)Settlement (finance)Power (physics)Agency (philosophy)EthnographyIdeal typeCompetition (biology)Public administrationService (business)Political scienceState (computer science)Work (physics)Diversity (politics)SociologyPolitical economyPublic relationsPoliticsBusinessEconomyLawEconomicsSocial scienceFinanceEcologyEngineering

Abstract

fetched live from OpenAlex

Underpinned by neoliberal rationalities, the contractual relationship between government funders and immigrant-serving organisations (ISOs) has led these agencies to promote neoliberal values of competition in the business market, prioritising quantity over quality in their services in order to secure government funding. Informed by Foucault's concept of governmentality as its theoretical framework and institutional ethnography (IE) as its methodology, our study investigates the work experiences of 18 immigrant settlement workers (ISWs) at three ISOs in western Canada. This study identifies how following an outcomes-driven evaluation approach, as required by the federal government, produces a series of textually mediated accountabilities, constructing translocal textual social relations that further coordinate and govern ISWs’ conduct in their local ISO workplaces. This evaluation approach, as analyzed in our study, is exercised as the technologies of ruling power, which is strengthened by the ruling of systems, workplace knowledge, social relations, and the governed-self, producing ideal ISWs who are self-accountable, self-regulated, adaptable, and productive. This process of making ideal ISWs legitimises ISWs’ apparatus role in reinforcing technologies of ruling power from the individual, organisational and institutional perspectives to better serve the agenda of the state.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.350
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2022
Admission routes2
Has abstractyes

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